Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.3 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Pérez
3
68 kgRomero
5
55 kgPantano
6
61 kgSuarez
8
67 kgPedraza
11
58 kgGuamá
12
61 kgSevilla
13
62 kgHenao
16
61 kgSandoval
17
64 kgCárdenas
18
59 kgGonzález
27
55 kgAtapuma
37
59 kgVillegas
41
73 kgTorres
42
56 kgGutiérrez
51
78 kgPeña
63
65 kgSoliz
65
58 kgAcevedo
75
63 kgChaparro
87
54 kgWilches
94
56 kgChalapud
99
63 kgParedes
110
63 kg
3
68 kgRomero
5
55 kgPantano
6
61 kgSuarez
8
67 kgPedraza
11
58 kgGuamá
12
61 kgSevilla
13
62 kgHenao
16
61 kgSandoval
17
64 kgCárdenas
18
59 kgGonzález
27
55 kgAtapuma
37
59 kgVillegas
41
73 kgTorres
42
56 kgGutiérrez
51
78 kgPeña
63
65 kgSoliz
65
58 kgAcevedo
75
63 kgChaparro
87
54 kgWilches
94
56 kgChalapud
99
63 kgParedes
110
63 kg
Weight (KG) →
Result →
78
54
3
110
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PÉREZ Marlon Alirio | 68 |
| 5 | ROMERO Jeffry | 55 |
| 6 | PANTANO Jarlinson | 61 |
| 8 | SUAREZ Camilo Andres | 67 |
| 11 | PEDRAZA Wálter Fernando | 58 |
| 12 | GUAMÁ Byron | 61 |
| 13 | SEVILLA Óscar | 62 |
| 16 | HENAO Sergio | 61 |
| 17 | SANDOVAL Edwin Alexander | 64 |
| 18 | CÁRDENAS Félix Rafael | 59 |
| 27 | GONZÁLEZ Freddy Excelino | 55 |
| 37 | ATAPUMA Darwin | 59 |
| 41 | VILLEGAS Juan Pablo | 73 |
| 42 | TORRES Rodolfo Andrés | 56 |
| 51 | GUTIÉRREZ José Enrique | 78 |
| 63 | PEÑA Victor Hugo | 65 |
| 65 | SOLIZ Óscar | 58 |
| 75 | ACEVEDO Janier | 63 |
| 87 | CHAPARRO Didier | 54 |
| 94 | WILCHES Juan Pablo | 56 |
| 99 | CHALAPUD Robinson | 63 |
| 110 | PAREDES Jonathan | 63 |